Clinical AI Community
If it takes a village to raise a child, it takes a whole community to train clinical-grade AI. Accurate AI development is reliant on well-annotated training datasets that clinicians should ideally curate. We have developed a HIPAA-compliant web application to allow patients to donate their imaging, clincians to curate the imaging for COVID-19 features, and data scientists can leverage this curated data to train clinical AI. We are submitting our app for IRB approval and once we get it this is how it should work.
Trainee and Staff Profiles
We've got the best students, postdocs and staff behind the scenes working to make an impact.
Ms. Petan builds end-to-end machine learning-based medical diagnosis systems with open source libraries compliant with HIPAA regulations. Her goal is to help alleviate some of healthcare's biggest bottlenecks and obstacles - by building infrastructure and tailored solutions that will help doctors and medical professionals reach more accurate diagnosis and treat more patients. She is aMicrosoft certified in Azure and Big Data analytics.
Dmytro Lituiev, PhD
Bakar Computational Health Sciences Institute, UCSF
Dr. Lituiev is an expert in deep learning. He is the only certified NVIDIA Deep Learning Ambassador at UCSF, and he also teaches advanced data science courses at UC Berkeley. He hosts the weekly SF Deep Learning Study Group at UCSF where a community of deep learning practitioners across SF Bay Area, from both academia and industry, meet to review state-of-the-art DL approaches and tackle novel projects. He has earned a PhD in computational biology, and his passion is to develop machine learning and visualization tools, for Life Sciences, and other applications. Dr, Lituiev strives to turn demands of experimentalists into automatized solutions by applying statistical, image and signal processing and statistical tools.